Publications

Thomas J. Maierhofer, Marilyn N. Raphael, Ryan L. Fogt, Mark S. Handcock (2024). A Bayesian Model for 20th Century Antarctic Sea Ice Extent Reconstruction. Earth and Space Science.

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Davaalkham Dambadarjaa, Tsogt Mend, Andrew Shapiro, Undram Mandakh, Temuulen Enebish, Linh-Vi Le, Darwin Bandoy, Ambaselmaa Amarjargal, Bilegt Altangerel, Tuvshintur Chuluunbaatar, Uugantsetseg Guruuchin, Oyuntulkhuur Lkhagvajav, Oyunsuren Enebish, Mark S. Handcock (2024). Estimating Asymptomatic and Symptomatic Transmission of the COVID-19 First Few Cases in Selenge Province, Mongolia. Influenza and Other Respiratory Viruses.

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Katherine R. McLaughlin, Lisa G. Johnston, Xhevat Jakupi, Dafina Gexha-Bunjaku, Edona Deva, Mark S. Handcock (2024). Modeling the Visibility Distribution for Respondent-Driven Sampling with Application to Population Size Estimation. The Annals of Applied Statistics.

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Duncan A. Clark, Mark S. Handcock (2024). Causal Inference over Stochastic Networks. Journal of the Royal Statistical Society, A.

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Eliah Aronoff-Spencer, Sepideh Mazrouee, Rishi Graham, Mark S. Handcock, Kevin Nguyen, Camille Nebeker, Mohsen Malekinejad, Christopher A. Longhurst (2023). Exposure Notification System activity as a leading indicator for SARS-COV-2 caseload forecasting. PLOS One.

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Zeyi Wang, Ian E. Fellows, Mark S. Handcock (2023). Understanding Networks with Exponential-family Random Network Models. Social Networks.

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Laxman Dahal, Henry Burton, Mark S. Handcock (2023). Comparative assessment of alternative methods for evaluating the optimality of ground motion intensity measures using woodframe buildings. Soil Dynamics and Earthquake Engineering.

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Ian E. Fellows, Mark S. Handcock (2023). Modeling of networked populations when data is sampled or missing. METRON.

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Shuchi Goyal, Mark S. Handcock, Heide M. Jackson, Michael S. Rendall, Fiona C. Yeung (2023). A Practical Revealed Preference Model for Separating Preferences and Availability Effects in Marriage Formation. Journal of the Royal Statistical Society, A.

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Bart Blackburn, Mark S. Handcock (2022). Practical Network Modeling via Tapered Exponential-family Random Graph Models. Journal of Computational and Graphical Statistics.

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Duan Mengjuan, Mark S. Handcock, Bart Blackburn, Fiona Kee, Viema Biaukula, Tamano Matsuic, Babatunde Olowokurec (2022). Tool for tracking all-cause mortality and estimating excess mortality to support the COVID-19 pandemic response. Western Pacific Surveillance and Response Journal.

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Marilyn N. Raphael, Mark S. Handcock (2022). A New Record Minimum for Antarctic Sea Ice. Nature Reviews Earth & Environment.

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Duncan A. Clark, Mark S. Handcock (2022). Comparing the real-world performance of exponential-family random graph models and latent order logistic models for social network analysis. Journal of the Royal Statistical Society, A.

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Ryan L Fogt, Amanda M Sleinkofer, Marilyn N. Raphael, Mark S. Handcock (2022). A Regime Shift in Seasonal Total Antarctic Sea Ice Extent in the Twentieth Century. Nature Climate Change.

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Alex D. Fraser, Robert A. Massom, Mark S. Handcock, P. Reid, K. I. Ohshima, M. N. Raphael, J. Cartwright, A. R. Klekociuk, Z. Wang, R. Porter-Smith (2021). Eighteen-year record of circum-Antarctic landfast-sea-ice distribution allows detailed baseline characterisation and reveals trends and variability. The Cryosphere.

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Mark S. Handcock, Andrew Hicks, Narayan Sastry, Anne R. Pebley (2021). A Note on 'Sequential Neighborhood Effects' by Hicks et al. (2018). Demography.

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Marilyn N. Raphael, Mark S. Handcock, Marika M Holland, Laura L Landrum (2020). An Assessment of the Temporal Variability in the Annual Cycle of Daily Antarctic Sea Ice in the NCAR Community Earth System Model, Version 2: A Comparison of the Historical Runs with Observations. Journal of Geophysical Research: Oceans.

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Mark S. Handcock, Marilyn N. Raphael (2020). Modeling the annual cycle of daily Antarctic sea ice extent. The Cryosphere.

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Cristina Valencia, Quang Chan Luong, Mark S. Handcock, Dung Tri Nguyen, Quan Ngoc Minh Doan, Thinh Viet Nguyen, Nga Hong Le, Thanh-Lan Thi Truong, Hien Do, Satoko Otsu, Tuan Le, Quang Duy Pham, Thuong Vu Nguyen, Lan Trong Phan, Linh-Vi N. Le (2020). Estimating asymptomatic and presymptomatic transmission of 2019 novel coronavirus (COVID-19) infection: a cohort study in Ho Chi Minh City, Vietnam. SSRN Electronic Journal.

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Medha Uppala, Mark S. Handcock (2020). Modeling wildfire ignition origins in southern California using linear network point processes. Annals of Applied Statistics.

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Brian J Kim, Mark S. Handcock (2019). Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys. Journal of Survey Statistics and Methodology.

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Alec M. Chan‐Golston, Sudipto Banerjee, Mark S. Handcock (2019). Bayesian inference for finite populations under spatial process settings. Environmetrics.

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Maryclare Griffin, Elena Erosheva, Krista J. Gile, Mark S. Handcock, Karen Fredriksen-Goldsen (2018). A Simulation-Based Framework for Assessing the Feasibility of Respondent-Driven Sampling for Estimating Characteristics in Populations of Lesbian, Gay and Bisexual Older Adults. Annals of Applied Statistics.

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Sanjay Chaudhuri, Mark S. Handcock (2018). A Conditional Empirical Likelihood Based Method for Model Parameter Estimation from Complex survey Datasets. Statistics and Applications.

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Krista J. Gile, Isabelle S. Beaudry, Mark S. Handcock, Miles Q. Ott (2018). Methods for Inference from Respondent-Driven Sampling Data. Annual Review of Statistics and Its Application.

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Mark S. Handcock (2018). Comment on "On Nonparametric Bayes Modeling of Populations of Networks". Journal of the American Statistical Association.

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Andrew Hicks, Mark S. Handcock, Narayan Sastry, Anne R. Pebley (2017). Sequential Neighborhood Effects: The Effect of Long-Term Exposure to Concentrated Disadvantage on Children's Reading and Mathematical Skills. Demography.

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Michael W. Spiller, Krista J. Gile, Mark S. Handcock, Corinne M. Mar, Cyprian Wejnert (2017). Evaluating Variance Estimators for Respondent‐Driven Sampling. Journal of Survey Statistics and Methodology.

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Ian E. Fellows, Mark S. Handcock (2017). Removing Phase Transitions from Gibbs Measures. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS).

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Jane Carlen, Mark S. Handcock (2017). Discussion of "Statistical Modelling of Citation Exchange Between Statistics Journals” by Cristiano Varin, Manuela Cattelan and David Firth. Journal of the Royal Statistical Society, A.

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Mark S. Handcock (2017). Discussion of "Adaptive and Network Sampling for Inference and Interventions in Changing Populations" by Steven K. Thompson. Journal of Survey Statistics and Methodology.

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Ryan Admiraal, Mark S. Handcock (2016). Modeling Concurrency and Selective Mixing in Heterosexual Partnership Networks with Applications to Sexually Transmitted Diseases. Annals of Applied Statistics.

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Krista J. Gile, Mark S. Handcock (2016). Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent Health. Journal of the Royal Statistical Society, C.

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Paul Wesson, Mark S. Handcock, Willi McFarland, H. Fisher Raymond (2015). If You Are Not Counted, You Don’t Count: Estimating the Number of African-American Men Who Have Sex with Men in San Francisco Using a Novel Bayesian Approach. Journal of Urban Health.

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Michael Schweinberger, Mark S. Handcock (2015). Local Dependence in Random Graph Models: Characterisation, Properties, and Statistical Inference. Journal of the Royal Statistical Society, B.

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Ryan Admiraal, Mark S. Handcock (2015). A Loglinear Modeling Approach to Assessing the Consistency of Ego Reports of Dyadic Outcomes with Applications to Fertility and Sexual Partnerships. Journal of the Royal Statistical Society, A.

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Krista J. Gile, Mark S. Handcock (2015). Network Model-Assisted Inference from Respondent-Driven Sampling Data. Journal of the Royal Statistical Society, A.

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Mark S. Handcock, Krista J. Gile, Corinne M. Mar (2015). Estimating the Size of Populations at High Risk for HIV using Respondent-Driven Sampling Data. Biometrics.

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Lisa G. Johnston, Katherine R. McLaughlin, Houssine El Rhilani, Amina Latifi, Abdalla Toufik, Aziza Bennani, Kamal Alami, Boutaina Elomari, Mark S. Handcock (2015). Estimating the size of hidden populations using respondent-driven sampling data: Case examples from Morocco. Epidemiology.

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Mark S. Handcock, Krista J. Gile, Corinne M. Mar (2014). Estimating Hidden Population Size using Respondent-Driven Sampling Data. Electronic Journal of Statistics.

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Jocelyn T. Chi, Mark S. Handcock (2014). Identifying Sources of Health Care Underutilization among California's Immigrants. Journal of Racial and Ethnic Health Disparities.

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Pavel N. Krivitsky, Mark S. Handcock (2014). A Separable Model for Dynamic Networks. Journal of the Royal Statistical Society, B.

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Alicia Carriquiry and Malay Majmundar, Editors, Panel on Survey Options for Estimating the Flow of Unauthorized Crossings at the U.S.-Mexico Border, including Mark S. Handcock (2013). Estimating Illegal Entries at the U.S.-Mexico Border. The National Academies Press.

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David R. Hunter, Steven M. Goodreau, Mark S. Handcock (2013). ergm.userterms: A Template Package for Extending statnet. Journal of Statistical Software.

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Ian E. Fellows, Mark S. Handcock (2012). Exponential-family Random Network Models. arXiv.

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Ruth M. Hummel, David R. Hunter, Mark S. Handcock (2012). Improving simulation-based algorithms for fitting ERGMs. Journal of Computational and Graphical Statistics.

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Gail E. Potter, Mark S. Handcock, Ira M. Longini Jr., M. Elizabeth Halloran (2012). Estimating Within-School Contact Networks To Understand Influenza Transmission. Annals of Applied Statistics.

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Mark S. Handcock, Krista J. Gile (2011). On the Concept of Snowball Sampling. Sociological Methodology.

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Gail E. Potter, Mark S. Handcock, Ira M. Longini Jr., M. Elizabeth Halloran (2011). Estimating Within-Household Contact Networks from Egocentric Data. Annals of Applied Statistics.

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Mark S. Handcock (2011). Discussion of 'Connections between survey calibration estimators and semi parametric models for incomplete data' by Thomas Lumley, Pamela A. Shaw and James Y. Dai. International Statistical Review.

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Pavel N. Krivitsky, Mark S. Handcock, Martina Morris (2011). Adjusting for network size and composition effects in exponential-family random graph models. Statistical Methodology.

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Gail E. Potter, Mark S. Handcock (2010). A Description of Within-family Resource Exchange Networks in a Malawian Village. Demographic Research.

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Krista J. Gile, Mark S. Handcock (2010). Respondent-Driven Sampling: An Assessment of Current Methodology. Sociological Methodology.

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Adam Glynn, Thomas S. Richardson, Mark S. Handcock (2010). Resolving Contested Elections: The Limited Power of Post-Vote Vote Choice Data. Journal of the American Statistical Association.

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Mark S. Handcock, Krista J. Gile (2010). Modeling Networks from Sampled Data. Annals of Applied Statistics.

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Marijtje van Duijn, Krista J. Gile, Mark S. Handcock (2009). A Framework for the Comparison of Maximum Pseudo Likelihood and Maximum Likelihood Estimation of Exponential Family Random Graph Models. Social Networks.

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Michael S. Rendall, Mark S. Handcock, Stefan H. Jonsson (2009). Bayesian estimation of hispanic fertility hazards from survey and population data. Demography.

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Mark S. Handcock, Martina Morris (2008). A curved exponential family model for complex networks. Computational and Mathematical Organization Theory.

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Michael Rendall, Ryan Admiraal, Alessandra DeRose, Paola DiGiulio, Mark S. Handcock, Filomena Racioppi (2008). Population constraints on pooled surveys in demographic hazard modeling. Statistical Methods and Applications.

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Mark S. Handcock, David R. Hunter, Carter T. Butts, Steven M. Goodreau, Martina Morris (2008). statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. Journal of Statistical Software.

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Martina Morris, Mark S. Handcock, David R. Hunter (2008). Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects. Journal of Statistical Software.

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Ryan Admiraal, Mark S. Handcock (2008). networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals through Sequential Importance Sampling. Journal of Statistical Software.

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Pavel N. Krivitsky, Mark S. Handcock (2008). Fitting Position Latent Cluster Models for Social Networks with latentnet. Journal of Statistical Software.

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David R. Hunter, Mark S. Handcock, Carter T. Butts, Steven M. Goodreau, Martina Morris (2008). ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. Journal of Statistical Software.

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Steven M. Goodreau, Mark S. Handcock, David R. Hunter, Carter T. Butts, Martina Morris (2008). A statnet Tutorial. Journal of Statistical Software.

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Sanjay Chaudhuri, Mark S. Handcock, Michael S. Rendall (2008). Generalised Linear Models Incorporating Population Level Information: An Empirical Likelihood Based Approach. Journal of the Royal Statistical Society, B.

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David R. Hunter, Steven Goodreau, Mark S. Handcock (2008). Goodness of Fit of Social Network Models. Journal of the American Statistical Association.

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Adam N. Glynn, Jon Wakefield, Mark S. Handcock, Thomas S. Richardson (2008). Alleviating Linear Ecological Bias and Optimal Design with Subsample Data. Journal of the Royal Statistical Society, A.

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Mark S. Handcock (2007). Model-Based Combination of Spatial Information for Stream Networks. Environmental and Ecological Statistics.

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Garry Robins, Tom Snijders, Peng Wang, Mark S. Handcock, Philippa Pattison (2007). Recent developments in Exponential Random Graph (p*) Models for Social Networks. Social Networks.

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Mark S. Handcock, Adrian E. Raftery, Jeremy M. Tantrum (2007). Model-Based Clustering for Social Networks. Journal of the Royal Statistical Society, A.

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Mark S. Handcock (2007). Statistical Network Analysis: Models, Issues and New Directions: Panel Discussion. Lecture Notes in Computer Science, Statistical Network Analysis: Models, Issues, and New Directions.

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David Krackhardt, Mark S. Handcock (2007). Heider vs Simmel: Emergent Features in Dynamic Structures. Lecture Notes in Computer Science, Statistical Network Analysis: Models, Issues, and New Directions.

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Mark S. Handcock, Martina Morris (2007). A Simple Model for Complex Networks with Arbitrary Degree Distribution and Clustering. Lecture Notes in Computer Science, Statistical Network Analysis: Models, Issues, and New Directions.

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Deven Hamilton, Mark S. Handcock, Martina Morris (2007). Degree distributions in sexual networks: A framework for evaluating evidence. Sexually Transmitted Diseases.

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Krista J. Gile, Mark S. Handcock (2006). Model-based Assessment of the Impact of Missing Data on Inference for Networks. CSSS Working Paper #66.

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Susan Shortreed, Mark S. Handcock, Peter Hoff (2006). Positional Estimation Within a Latent Space Model for Networks. Methodology.

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Mark S. Handcock, James Holland Jones (2006). Interval Estimates for Epidemic Thresholds in Two-Sex Network Models. Theoretical Population Biology.

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David R. Hunter, Mark S. Handcock (2006). Inference in curved exponential family models for networks. Journal of Computational and Graphical Statistics.

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Tom A.B. Snijders, Philippa E. Pattison, Garry L. Robins, Mark S. Handcock (2006). New specifications for exponential random graph models. Sociological Methodology.

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William C. Miller, Heidi Swygard, Marcia M. Hobbs, Carol A. Ford, Mark S. Handcock, Martina Morris, John L. Schmitz, Kathleen Mullan Harris, J Richard Udry (2005). The Prevalence of Trichomoniasis in Young Adults in the United States. Sexually Transmitted Diseases.

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Adam Glynn, Jon Wakefield, Mark S. Handcock, Thomas Richardson (2005). Alleviating Linear Ecological Bias and Optimal Design with Subsample Data. CSSS Working Paper #51.

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Mark S. Handcock, Michael S. Rendall, Jacob E. Cheadle (2005). Improved Regression Estimation of a Multivariate Relationship with Population Data on the Bivariate Relationship. Sociological Methodology.

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Marc A. Scott, Mark S. Handcock (2005). Persistent Inequality? Answers from Hybrid Models for Longitudinal Data. Sociological Methods and Research.

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Sanjay Chaudhuri, Mark S. Handcock, Michael S. Rendall (2005). Generalised Linear Models Incorporating Population Level Information: An Empirical Likelihood Based Approach. CSSS Working Paper #48.

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Mark S. Handcock, Adrian E. Raftery, Jeremy M. Tantrum (2005). Model-Based Clustering for Social Networks. CSSS Working Paper #46.

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Roxanne P Kerani, Mark S. Handcock, H Hunter Handsfield, King K Holmes (2005). Comparative Geographic Concentrations of Four Sexually Transmitted Infections. American Journal of Public Health.

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William C. Miller, Carol A. Ford, Marcia M. Hobbs, Myron S. Cohen, John L. Schmitz, Kathleen Mullan Harris, Mark S. Handcock, Martina Morris (2004). Prevalence of Chlamydial and Gonococcal Infections Among Young Adults—Reply. Journal of the American Medical Association.

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David R. Hunter, Mark S. Handcock (2004). Inference in curved exponential family models for networks. CSSS Working Paper #43.

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Mark S. Handcock, James Holland Jones (2004). Likelihood-Based Inference for Stochastic Models of Sexual Network Formation. Theoretical Population Biology.

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Jeffrey A. Hepinstall, John M. Marzluff, Mark S. Handcock, Philip Hurvitz (2004). Incorporating Utilization Distributions into the Study of Resource Selection: Dealing With Spatial Autocorrelation. Resource Selection Methods and Applications edited by Huzurbazar, S. Omnipress, Madison, WI, pp. 12-19.

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Martina Morris, Mark S. Handcock, William C. Miller, Carol A. Ford, John L. Schmitz, Marcia M. Hobbs, Myron S. Cohen, Kathleen Mullan Harris, J Richard Udry (2004). Prevalence of HIV Infection Among Young Adults In The U.S.: Results From The Add Health Study. American Journal of Public Health.

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William C. Miller, Carol A. Ford, Martina Morris, Mark S. Handcock, John L. Schmitz, Marcia M. Hobbs, Myron S. Cohen, Kathleen Mullan Harris, J Richard Udry (2004). Prevalence of Chlamydial and Gonococcal Infections Among Young Adults in the United States. Journal of the American Medical Association.

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John M. Marzluff, Joshua J. Millspaugh, Philip Hurvitz, Mark S. Handcock (2004). Relating Resources to a Probabilistic Measure of Space Use: Forest Fragments and Steller’s Jays. Ecology.

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David R. Hunter, Steven M. Goodreau, Mark S. Handcock (2004). Goodness of Fit of Social Network Models. CSSS Working Paper #47.

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Tom A.B. Snijders, Philippa E. Pattison, Garry L. Robins, Mark S. Handcock (2004). New specifications for exponential random graph models. CSSS Working Paper #42.

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Susan Shortreed, Mark S. Handcock (2004). Positional Estimation Within a Latent Space Model for Networks. CSSS Working Paper #41.

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Kathleen A. O'Connor, Eleanor Brindle, Jane B. Shofer, Rebecca C. Miller, Nancy A. Klein, Michael R. Soules, Kenneth L. Campbell, Cori Mar, Mark S. Handcock (2004). Statistical Correction for Non‐parallelism in a Urinary Enzyme Immunoassay. Journal of Immunoassay and Immunochemistry.

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Mark S. Handcock (2004). Relative Distribution Method. The SAGE encyclopedia of social science research methods.

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Mark S. Handcock (2003). Assessing Degeneracy in Statistical Models of Social Networks. CSSS Working Paper #39.

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Mark S. Handcock, Michael S. Rendall, Jacob E. Cheadle (2003). Generalised Linear Models Incorporating Population Level Information: An Empirical Likelihood Based Approach. CSSS Working Paper #36.

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James Holland Jones, Mark S. Handcock (2003). Sexual contacts and epidemic thresholds. Nature.

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Mark S. Handcock, James Holland Jones, Martina Morris (2003). On 'Sexual contacts and epidemic thresholds,' models and inference for Sexual partnership distributions. CSSS Working Paper #31.

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James Holland Jones, Mark S. Handcock (2003). An Assessment of Preferential Attachment as a Mechanism for Human Sexual Network Formation. Proceedings of the Royal Society, B.

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Mark S. Handcock, James Holland Jones (2003). Interval Estimates for Epidemic Thresholds in Two-Sex Network Models. CSSS Working Paper #44.

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Mark S. Handcock, James Holland Jones (2003). Likelihood-Based Inference for Stochastic Models of Sexual Network Formation. CSSS Working Paper #29.

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Mark S. Handcock (2003). Statistical Models for Social Networks: Inference and Degeneracy. Dynamic Social Network Modeling and Analysis.

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Peter Hoff, Adrian E. Raftery, Mark S. Handcock (2002). Latent Space Approaches to Social Network Analysis. Journal of the American Statistical Association.

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Mark S. Handcock, Eric M. Aldrich (2002). Applying Relative Distribution Methods in R. CSSS Working Paper #27.

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James Holland Jones, Mark S. Handcock (2002). An Assessment of Preferential Attachment as a Mechanism for Human Sexual Network Formation. CSSS Working Paper #23.

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Mark S. Handcock, Joseph Sedransk, Anthony Olsen (2002). Statistical Methods for Ecological Assessment Of Riverine Systems By Combining Information From Multiple Sources. Proceedings of the Section on Environmental Statistics of the 2002 American Statistical Societies Meetings.

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Mark S. Handcock (2002). Degeneracy and Inference for Social Network Models. Proceedings of the 19th Annual Summer Political Methodology Meetings.

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James Holland Jones, Mark S. Handcock (2002). Statistical Evidence Tells Tails of Human Sexual Contacts. CSSS Working Paper #21.

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Mark S. Handcock, Paul L. Janssen (2002). Statistical Inference for the Relative Distribution. Sociological Methods and Research.

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Marc A. Scott, Mark S. Handcock (2001). Covariance Models for Latent Structure in Longitudinal Data. Sociological Methodology.

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Annette B. Bernhardt, Martina Morris, Mark S. Handcock, Marc A. Scott (2001). Divergent Paths: Economic Mobility in the New American Labor Market. Russell Sage Foundation.

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Annette D. Bernhardt, Martina Morris, Mark S. Handcock, Marc A. Scott (2000). Trends in Job Instability and Wages for Young Adult Men. On the Job: Is Long Term Employment a Thing of the Past?.

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Mark S. Handcock, Michael S. Rendall, Sami M. Huovilainen (2000). Combining Registration-System and Survey Data to Estimate Birth Probabilities. Demography.

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Mark S. Handcock, Martina Morris, Annette D. Bernhardt (2000). Comparing earnings inequality using two major surveys. Monthly Labor Review.

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Annette D. Bernhardt, Martina Morris, Mark S. Handcock, Marc A. Scott (1999). Trends in Job Instability and Wages for Young Adult Men. Journal of Labor Economics.

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Mark S. Handcock, Martina Morris (1999). Relative Distribution Methods in the Social Sciences. Springer-Verlag.

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Diane McLaughlin, Mark S. Handcock, Joseph Kodamanchaly (1999). The Declining Middle: Is Pennsylvania Losing its Middle Class?. Rural Development Views.

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D. J. Royse, K. Boomer, Y. Du, Mark S. Handcock, P. S. Coles, C. P. Romaine (1999). Spatial Distribution of Green Mold Foci in Thirty Commercial Mushroom Crops. Plant Disease.

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Mark S. Handcock, Martina Morris (1998). Relative Distribution Methods. Sociological Methodology.

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Mark S. Handcock (1997). Spatial–Temporal Modeling of Meteorological Fields with application to Climate Change. Bulletin of the International Statistical Institute.

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Martina Morris, Chai Podhisita, Maria J. Wawer, Mark S. Handcock (1996). Bridge Populations in the Spread of HIV/AIDS in Thailand. AIDS.

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Annette D. Bernhardt, Martina Morris, Mark S. Handcock (1995). Women’s Gains or Men’s Losses? A closer look at the Shrinking Gender Gap in Earnings. American Journal Sociology.

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Samprit Chatterjee, Mark S. Handcock, Jeffrey S. Simonoff (1995). A Casebook for a First Course in Statistics and Data Analysis. Wiley, New York.

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Mark S. Handcock, James R. Wallis (1994). An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields” (with discussion). Journal of the American Statistical Association.

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Mark S. Handcock (1994). An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields” (rejoinder). Journal of the American Statistical Association.

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Annette D. Bernhardt, Martina Morris, Mark S. Handcock (1994). Economic Inequality: New Methods for New Trends. American Sociological Review.

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Mark S. Handcock (1994). Measuring the Uncertainty in Kriging. Geostatistics for the Next Century. Quantitative Geology and Geostatistics.

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Mark S. Handcock (1994). Comment on "Estimating or Choosing a Geostatistical Model" by Oliver Dubrule. Geostatistics for the Next Century. Quantitative Geology and Geostatistics.

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Mark S. Handcock, Michael L. Stein (1993). A Bayesian Analysis of Kriging. Technometrics.

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Mark S. Handcock, John E. Kolassa (1992). Statistical Review of the Henhouse experiments: The Effects of a Pulsed Magnetic Field on Chick Embryos. Bioelectromagnetics.

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F. Michelassi, W. Pomidor, A. G. Montag, J. Stephens, R. D. Goldberg, Mark S. Handcock (1992). Quantification of Variation in Reading Immunohistochemical Assays. Research in Surgery.

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M. C. Jones, Mark S. Handcock (1991). Determination of Anaerobic Threshold: What Anaerobic Threshold?. Canadian Journal of Statistics.

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Mark S. Handcock (1991). On Cascading Latin Hypercube Designs and Additive Models for Experiments. Communications in Statistics - Theory and Methods.

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Mark S. Handcock (1991). Comment on "Prediction of Spatial Cumulative Distribution Functions Using Subsampling". Journal of the American Statistical Association.

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F. Michelassi, J. A. Hayman, Mark S. Handcock, R. Goldberg, F. Erroi, B. A. Lashner, S. B. Hanauer (1990). Ras Oncogene Protein Product in Ulcerative Colitis. Research in Surgery.

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F. Michelassi, G. Grad, F. Erroi, M. Roncella, J. Romagnoli, Mark S. Handcock (1990). Relationship between Ras Oncogene Expression and Clinical and Pathological Features of Colonic Carcinoma. Hepato-gastroenterology.

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F. Michelassi, F. Erroi, P. J. Dawson, A. Pietrabissa, S. Noda, Mark S. Handcock, G. E. Block (1989). Experience with 647 consecutive tumors of the duodenum, ampulla, head of the pancreas and distal common bile duct. Annals of Surgery.

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Mark S. Handcock (1989). Inference for spatial Gaussian random fields when the objective is prediction. Ph.D. dissertation, The University of Chicago.

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Michael L. Stein, Mark S. Handcock (1989). Some Asymptotic Properties of Kriging When the Covariance Function is Misspecified. Mathematical Geology.

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F. Michelassi, S. Leuthner, M. Lubienski, D. Bostwick, J. Rodgers, Mark S. Handcock, G. E. Block (1987). Ras oncogene protein p21 levels parallel malignant potential of different human colonic benign conditions. Archives of Surgery.

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